Lead Infrastructure Engineer - DevOps (AWS, EKS, Terraform, Python)

Job responsibilities

• Build, manage, and monitor the quantitative technology stack.
• Provision AWS resources to support expanding platform needs. Implement CI/CD tools and source control using Git and BitBucket
• Manage upgrade cycles and address resource security findings
• Mentor and guide junior engineers, promoting best practices in security, compliance, and cloud-native development.
• Develop automation tools and/or code to manage and monitor the infrastructure. 
• Provide technical support during software development. Troubleshoot any issues that arise in the test and computational environments
• Maintain inventory of the relevant environments. 
• Assist development team in debugging environment specific issues. Take part in operational support of ETL processes
• Stay current with industry trends and source new ways for our business to improve
• Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
• Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Bachelor’s Degree in Computer Science, Engineering, Software Engineering, or a relevant field
• Expertise in administration of AWS Services like EC2, EKS, S3, Lambda, RDS/Aurora, ElastiCache, ELB, EMR, CodeDeploy, and CloudWatch
• Strong Experience working with Terraform. Strong Experience working with Kubernetes and Docker. 
• Experience using Git. Experience with FinOps best practices for cloud architectures. Experience with project workflow tools such as Jira in an Agile-Scrum environment. Experience with Linux-based infrastructures, and Linux administration
• Strong communication & interpersonal skills and ability to explain protocol and processes to the team. Strong troubleshooting skills with the ability to spot issues before they become problems
• Experience working with relational databases such as PostgreSQL. Experience with administration of job orchestration tools such as Airflow
• Ability to deploy software written in Python
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.

• Experience working with relational databases such as PostgreSQL
• Experience with administration of job orchestration tools such as Airflow
• Ability to deploy software written in Python